Xu, Mengdi

15 publications

JMLR 2024 Functional Optimal Transport: Regularized mAP Estimation and Domain Adaptation for Functional Data Jiacheng Zhu, Aritra Guha, Dat Do, Mengdi Xu, XuanLong Nguyen, Ding Zhao

UAI 2023 A Trajectory Is Worth Three Sentences: Multimodal Transformer for Offline Reinforcement Learning Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi

NeurIPS 2023 Adaptive Online Replanning with Diffusion Models Siyuan Zhou, Yilun Du, Shun Zhang, Mengdi Xu, Yikang Shen, Wei Xiao, Dit-Yan Yeung, Chuang Gan

CoRL 2023 Continual Vision-Based Reinforcement Learning with Group Symmetries Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao

NeurIPSW 2023 Creative Robot Tool Use with Large Language Models Mengdi Xu, Wenhao Yu, Peide Huang, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao

AISTATS 2023 Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao

ICLR 2023 Hyper-Decision Transformer for Efficient Online Policy Adaptation Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan

ICMLW 2023 Visual-Based Policy Learning with Latent Language Encoding Jielin Qiu, Mengdi Xu, William Han, Bo Li, Ding Zhao

CoRL 2023 What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao

NeurIPS 2022 Curriculum Reinforcement Learning Using Optimal Transport via Gradual Domain Adaptation Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

NeurIPSW 2022 Hyper-Decision Transformer for Efficient Online Policy Adaptation Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, Ding Zhao, Chuang Gan

ICML 2022 Prompting Decision Transformer for Few-Shot Policy Generalization Mengdi Xu, Yikang Shen, Shun Zhang, Yuchen Lu, Ding Zhao, Joshua Tenenbaum, Chuang Gan

IJCAI 2022 Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang, Mengdi Xu, Fei Fang, Ding Zhao

NeurIPS 2020 Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu, Wenhao Ding, Jiacheng Zhu, Zuxin Liu, Baiming Chen, Ding Zhao

CVPR 2012 Omni-Range Spatial Contexts for Visual Classification Bingbing Ni, Mengdi Xu, Jinhui Tang, Shuicheng Yan, Pierre Moulin